DBA/DW, BASIC

THAILAND

SQLServer

2012

Sneak Preview

Industry Trends

Digital data will grow >40x over the next decade

Key Take Away

Required 9s

Blazing Fast

Enhanced Consistent Data

and Visualization

Self Service BI

Superior DW

Scale

Cloud and On Premise

Anywhere

Provides Required 9s of Availability

Without Cost and Complexity

Mission Critical Availability • A unified, simplified solution

• Easy to deploy and Manage Integrated

Flexible

Efficient

•

•

•

•

AlwaysOn Availability Groups for database protection

AlwaysOn Failover Cluster Instances for instance level protection

AlwaysOn Availability Groups(AG)

AlwaysOn Availability Groups is a new feature that enhances and combines database mirroring and log shipping capabilities

Flexible Integrated Efficient

SQLServer 2012

Note: More secondaries (total upto 4) can be added for additional resiliency or read scaleout

Replace Database Mirroring and Log Shipping with Availability Group

Primary Data Center

Synchronous / Asynchronous

Disaster Recovery Data Center

Primary Secondary

Fileshare Witness

Synchronous

Secondary

Windows Server Failover Cluster

Availability Group

Availability Group Architecture

• Inter-node health detection,

• Failover coordination,

• Primary health detection,

• Distributed data store for settings and state,

• Distributed change notifications

Windows Server Failover Cluster

WSFC Common Microsoft Availability

Platform

Database Active Log Synchronization

Database Active Log Synchronization

Availability Group uses Windows Server Failover Cluster (WSFC) for

What about Server Objects?

• Introducing Contained Databases or CDB’s • Unit of application

programmability in Denali

• A DB which establishes a boundary between application and server

• CDBs sever the user–login relationship • Windows users no longer

need matching logins

• Users with passwords replace SQL logins

• CDB can be part of an availability group and can failover across replicas

• Authentication information moves with the CDB

• Limitation Other objects, like jobs are not contained and has to be managed

Application Failover

• Availability Groups Listener allow applications to failover seamlessly to any secondary

– Application reconnects using a virtual name after a failover to a secondary

AG_HR

HR DB

HR DB

Primary Secondary

HR_VNN

-server HR_Listener;-catalog HRDB

Application retry during failover Connect to new primary once failover is complete

and the listener is online

Primary Secondary Secondary

HR DB

ServerA ServerB ServerC

Active Secondary – Making Secondary

Readable

• Readable secondary allow offloading read queries to secondary

• Close to real-time data, latency of log synchronization impact data freshness

DB2 DB1

SQLservr.exe SQLservr.exe

InstanceA

DB2 DB1

Primary Secondary

InstanceB

Reports

Primary Secondary

Reports

Failover

Read-Only Client Connectivity

• Read-Only client connection behavior determined by Availability Replica Option+ ApplicationIntent Property

• ApplicationIntent is a connection property

• Replica option determines whether a replica is enabled for read access when in a secondary role

• Read-Only Routing enables redirection of client connection to new secondary on role change

• Enable seamless redirection of application connection across replicas without manual intervention

Active Secondary: Enabling Backup On

Secondary

• Backups can be done on any replica of a database

• Backups on primary replica still works

• Log backups done on all replicas form a single log chain

• Database Recovery Advisor makes restores simple

R/W workload

Primary

Backups

Secondary

Backups

Secondary

Backups

AlwaysOn Failover Cluster Instances (FCI)

• Multi-site SQL Server failover cluster architecture:

• A single Windows server failover cluster (WSFC) and SQL Server failover cluster instance (FCI) spanning across two sites to provide local High Availability as well as a Disaster Recovery solution

• Uses storage (SAN) level replication for data movement between sites

• Deployments: BigHammer, Queensland Rail, and many more …

subnet 2 subnet 1

SAN Replication

IP1: 192.168.1.30 IP2: 192.168.2.30

Corpnet

OR

Network Name: SqlClus

site 1 site 2

AlwaysOn Multi-site Failover Cluster Instance

Blazing Fast Performance

100x

…

C1 C2 C3 C5 C6 C4

BI Semantic Model

Data model

Business logic and queries

Data access ROLAP MOLAP VertiPaq Direct Query

MDX DAX

Multi- dimensional

Tabular

Third-party applications

Reporting Services Excel PowerPivot

Databases LOB Applications Files OData Feeds Cloud Services

SharePoint Insights

BI Semantic Model: Architecture

BI Semantic Model

• Rich data modeling

capabilities

• Sophisticated business

logic using MDX and

DAX

• Fine-grained security –

row/cell level

• Enterprise capabilities –

multi-language and

perspectives

• Multi-dimensional

and tabular

modeling

experiences

• MDX and DAX for

business logic and

queries

• Cached and

passthrough storage

modes

• Choice of end-user

BI tools

• VertiPaq for high performance, MOLAP for mission critical scale

• DirectQuery and ROLAP for real-time access to data sources

• State-of-the-art compression algorithms

• Scales to largest enterprise servers

• Flexibility • Richness • Scalability

How Should I Build my Model?

Data Model

Business Logic

Data Access and Storage

Recap: What Did We Do in 2008 R2?

• We invested heavily for Corporate BI • Shared DataSets

• Report parts, Report part gallery

• New Visualizations: Map, gauge, sparkline, databar, KPI

• Ajax Report viewer

• Tons of Customer DCRs

• We had to cut a few key scenarios: • Adhoc reporting

• Alerting

SQL Server Provides Rapid Data Exploration

Gartner, “Business Intelligence Purchase Drivers and Adoption Rates, 2009 Survey Results,” Bill Hostmann, Sept. 4, 2009

Only 28% of an organization has access to BI tools*

New SSRS SharePoint Integration Benefits

• SSRS SharePoint 2010 Shared Service

• Hosted in SharePoint Shared Service App pool

• SSRS catalog DBs are SharePoint Service App DBs

• WCF and Claims based communication

• PowerShell Cmdlets

• Central Admin UI for all RS administration

• ULS Logging integration

• Built-in scale-out and load balancer

• Report Performance Improvements

• For reports in AJAX Viewer

• Parity with Denali Native mode performance

• Top SharePoint mode pain point

• Small reports used to be 2-3 times slower: Fixed

• Faster than 2008 R2 SharePoint mode ~ 30-60%

• SQL Setup option for SSRS SharePoint service

Credible, Consistent Data

Versioning

Validation Authoring business rules to ensure

data correctness Modeling

Entities, Attributes, Hierarchies

Enabling Integration & Sharing

MDS Capabilities

MDS

Role-based Security and Transaction Annotation

Master Data Stewardship

External (CRM, ..) Excel DWH

Loading batched data through Staging Tables

Consuming data through Views

Registering to changes through APIs

Excel Add-In Web UI Data Matching

Workflow / Notifications

Knowledge Base

Batch Cleansing - Using SSIS

Matching Policy

Reference Data Definition

SSIS Data Flow

Source DQS Cleansing

Component

SSIS Package

Destination

DQS server

Values/Rules

Scalable Data Warehouse

Offerings

Effort to Build Variable Very Low Moderate Moderate Moderate Moderate Very Low

Capacity Variable 5 TB 14 TB 20 TB 40 TB 80TB 500 TB

Concurrency Variable Light Light Medium Medium High Very High

Query Complexity

Variable Medium Medium Medium Medium High Very High

Architecture SMP SMP SMP SMP SMP SMP MPP

Box Appliance Reference Architecture

Reference Architecture

Reference Architecture

Reference Architecture

Appliance

Scale On Demand

Private Cloud

Economics of cloud fuel evolution

Source: Alinean

Optimized Productivity

Developing Databases is Hard!

• Need to preserve data puts focus on ALTER scripts

• Dependencies make even simple tasks complex • Errors detected late • Drift has to be accommodated • Hard to synchronize app and database versions • Target different editions, cloud

There is a Better Way…

• Declarative not scripted

• Model-based design and validation

• Same tools when connected or offline

• Use schema differencing for

– Incremental import and deployment

– Drift detection and reconciliation

• Schema and app under source code control

• Test locally, deploy to SQL Server or SQL Azure

SQL Server Developer Tools code-

named “Juneau”

SSDT

SSDT Database Services

SSDT

Thank You